Influence of Digital Adoption, Employee Engagement, and Technological Self-Efficacy on Job Performance among Hospital Nurses in Beijing Province
DOI:
https://doi.org/10.53797/ujssh.v5i1.11.2026Keywords:
Digital Adoption, Technological Self-Efficacy, Employee Engagement, Job Performance, Nurses, JD-R ModelAbstract
This study investigates the influence of digital adoption, employee engagement, and technological self-efficacy on job performance among hospital nurses in Beijing Province. With the rapid development of healthcare technologies, hospitals increasingly rely on digital tools to enhance efficiency and service quality. Drawing on the Job Demands-Resources (JD-R) model and Social Cognitive Theory, this research examines how nurses’ engagement and confidence in using technology mediate the relationship between digital adoption and job performance. A cross-sectional survey was conducted with 300 registered nurses from three major hospitals, using validated instruments to measure digital adoption, technological self-efficacy, employee engagement, and job performance. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were employed to analyze the relationships among variables. Results indicate that digital adoption positively influences nurses’ job performance both directly and indirectly through enhanced technological self-efficacy and employee engagement. The findings highlight the importance of fostering digital literacy and engagement strategies to improve healthcare delivery. Practical implications for hospital administrators and policymakers are discussed, and directions for future research on technology-driven performance enhancement in nursing are proposed.
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